176 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" uni jobs at King's College London
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enrolment, maintain attendance records and create evaluation forms. Support data management processes, including uploading data to systems such as Blackboard Learn and Inkpath, and producing attendance
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, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates
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experiments, data analysis and presenting results. Experience with spatial transcriptomics is required and experience with histological sample preparation will be favourably considered. This is a full time (35
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, with proficient computer use and strong interpersonal and influencing/behavioural skills. Proactive and responsive to contacts in immediate area, across the wider organisation and externally (e.g
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pressure, taking reasonable and proportionate steps to solve problems. Desirable criteria 1. Ability to assess, evaluate and understand information to inform practical solutions. 2. Ability to make
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developed new food applications to impact blood glucose control, collected big data through citizen science to understand individual responses to food, pioneered the low FODMAP diet as a treatment for IBS
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Guidance on systems deliver energy efficiency and occupant comfort. Audit systems to meet sustainability standards and comply with regulations. Use real-time data to generate insights and reports on system
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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trials portfolios of the partner organisations including the EDGE system and ensuring information added is quality checked To ensure that trials metrics are collected to permit tracking of milestones
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or hybrid environments Good understanding of Student application architecture including familiarisation with SQL, .net, Windows server o/s, virtualization, cloud computing, systems and data security issues